Xbox Series X Is Here + So Are Scalpers – IGN News Live

Posted by

The Big Huge Xbox Series X’s Big Huge Day is here! But sadly, amidst this fall’s complicated console purchasing process, some individuals are already reselling their new Xboxes for a considerable markup. Booooo! It looks like this year won’t see the release of a single Marvel Cinematic Universe movie, but Wandavision is arriving next month, and we have some details. Also coming this month, for sure, is Cyberpunk 2077, despite rumors that suggest otherwise. In other news, George Lucas’s original plans for Darth Maul in his unproduced Star Wars sequel trilogy, and Vin Diesel is returning for Bloodshot 2.... Read More إقرأ المزيد | Share it now!

(Some) Xbox Series X Pre-orders Getting Delayed – IGN Daily Fix

Posted by

Happy Xbox Series X/S Launch Day! But also, bummer if your pre-order got delayed, as some gamers found out recently. Also, if you didn’t snag a pre-order, you could pay $1,000 or more for a next-gen Xbox, because scalpers have already started to sell units on eBay. And for those with hard drives ready to burst, CoD Warzone is about to get several gigabytes smaller. It’s your Daily Fix!... Read More إقرأ المزيد | Share it now!

[SAIF 2020] Day 1: Towards Discovering Casual Representations – Yoshua Bengio | Samsung

Posted by

Up to now deep learning has focused on learning representations which are useful in many applications but differ from the kind of high-level representations humans can communicate with natural language and capture semantic (verbalizable) variables and their causal dependencies. Capturing causal structure is important for many reasons: (a) it allows an agent to take appropriate decisions (interventions) by having a good causal model of its effects, (b) it can lead to robustness with respect to changes in distribution (a major current limitation of state-of-the-art machine learning), and (c) it makes it easier to understand natural language (which refers to such causal concepts, the semantic variables named with words) and thus interact more meaningfully with humans. Whereas causality research has focused on inference (like how strong is the causal effect of A on B?) and to a lesser extent on causal discovery (is A a direct cause of B?), an important open question to which deep learning researchers can contribute is that of discovering causal representations, i.e., transformations from low-level sensory data to high-level representations of causal variables, where the high-level variables are not always labeled by humans. This must necessarily be done at the same time as one learns the structure of the causal graph which links these variables since both are generally unknown. This talk will report on early efforts towards these objectives, as part of a larger research programme aimed at expanding deep learning from system 1 (unconscious) processing to system 2 (conscious-level) processing of semantic variables.... Read More إقرأ المزيد | Share it now!